AI Scoring FAQ

EnsoSleep, is an FDA-cleared, AI-powered viewing, scoring, editing, and reporting software that simplifies the sleep testing, diagnosis, and treatment workflow. We are often asked questions about how our AI Scoring software works, and how it compares to auto scoring products that many sleep professionals have experienced in the past. To answer these commonly asked questions, we compiled the following AI Scoring FAQ.

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What is EnsoSleep AI Sleep Scoring?

AI Sleep Scoring is the automated event detection and analysis of PSG or HSAT data performed by AI Scoring software, like EnsoSleep. The AI does this by analyzing the waveform data of sleep tests and providing an AI-scored study for a registered clinician to review.

EnsoSleep is FDA-cleared AI Scoring and Study Management software that automates sleep staging and event detection for patients ages 13 and up. EnsoSleep integrates with existing sleep lab software and devices, automatically detecting studies that require scoring. EnsoSleep analyzes and scores the studies, then uploads the scored studies back into the native software. 

Sleep Professionals working at labs with multiple locations and/or devices often prefer to optimize their sleep lab workflow by utilizing EnsoSleep Study Management to view, edit, and report on all sleep studies in one cloud-based platform.

Metrics based on 81,805 epochs, across 100 adult PSGs, with double-blind review*:

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diagnostic AHI severity agreement
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sleep disordered breathing event agreement
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sleep staging agreement
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central apnea detection agreement

Has EnsoSleep achieved AASM Autoscoring Certification™?

Yes. EnsoSleep received the American Academy of Sleep Medicine (AASM) Autoscoring Certification in April 2024.

AASM Autoscoring Certification™ is a trademark of the American Academy of Sleep Medicine and is used with permission.

What are the benefits of AI Scoring?

  • Increase scoring consistency

  • Standardize scoring across locations

  • Speed up scoring process

  • Accelerate onboarding and training for new techs

  • Minimize outsourcing expenses

  • Reduce scoring or testing backlog

  • Grow revenue or testing volume

  • Enhance the patient experience

  • Scale number of patients

  • Increase reimbursements

What is Artificial Intelligence?

Artificial Intelligence (AI) is the general field of study at the intersection of statistics, software development and theoretical computer science.

AI developers ideate different algorithmic approaches using large data sets to create machines with a certain level of intelligence.

What is Machine Learning?

Machine Learning (ML) is a subset of AI, and refers to a collection of methods that enable an algorithm to execute specific tasks without being explicitly programmed.

An ML algorithm learns relationships within the observed data in order to make predictions on newly collected data.

How is AI Scoring Different from Auto Scoring?

How is AI Scoring Different from Auto Scoring?

Auto Scoring

Auto scoring solutions are developed using traditional software-assisted programming, where humans manually “code” or “write” individual rules that are applied to sleep study data to generate answers. The number of rules that have to be coded to account for the high level of variability in sleep data makes traditional software-assisted auto scoring approaches unsuitable for sleep studies. Instead of providing time savings, sleep technologists and clinicians often spend more time correcting errors caused by the auto scoring.

AI Scoring

In contrast to auto scoring, EnsoData’s AI scoring solution, EnsoSleep, uses a subset of AI called Machine Learning (ML). ML solutions do not require humans to individually code all the rules. Instead, ML software learns relationships from >2.5 million RPSGT-scored and reviewed sleep studies (“answers”) and applies AASM scoring guidelines to develop methods for the analysis and scoring of studies. EnsoData’s AI/ML algorithms are regularly maintained, tested, and validated over time, so every sleep study analyzed helps improve predictions on newly collected data.

How was the EnsoSleep AI Model Trained?

EnsoData’s cloud database for AI and ML development and testing includes more than 2,500,000 sleep studies across age, gender, race, and other demographic categories. This data includes more than 10,000,000 hours of second-to-second physiological signal data that our AI and ML algorithms can learn from. EnsoData’s AI models are then trained on the rules established by the “AASM gold standard” panel of sleep physicians.

What Measures are in Place to Reduce Bias?

EnsoData’s AI-powered technology is built on an ethically sound foundation and uses a transparent process for design, validation, and improvement of AI systems to mitigate risks of bias. Before each minor software release, EnsoData’s engineering team assesses updates to the models for bias using the train and test method.  Furthermore, the algorithm only processes signal data and does not have access to demographic information found in a sleep study.  

How do Customer Preferences Enhance AI Scoring?

As studies are processed by EnsoSleep, our proprietary AI algorithm progressively learns sleep technologists’ scoring tendencies by analyzing the study data. This enables the AI to make more informed decisions on future sleep studies, ensuring the highest level of initial scoring accuracy, and saving your sleep team time by eliminating repeated edits.

For example, post-arousal sighs are often categorized as an event and most techs choose to delete them. EnsoSleep allows for setting a specific duration after arousal, during which no events are scored. This effectively eliminates the need for extra deletion of post-arousal sighs.

In addition to the consistency the EnsoSleep algorithm provides, customers using EnsoSleep can also personalize their scoring settings to match the unique preferences of the sleep lab, resulting in improved workflow efficiency and optimization.

Which EnsoSleep Settings are Customizable?

EnsoSleep scores all sleep studies in accordance with AASM standards; however, it is our experience that most sleep clinics have unique preferences specific to their practice. The following settings can be personalized to match how studies are currently scored in your sleep lab.

Staging

  • Score events during wake

  • Set minimum study duration

  • Downstage after an arousal

  • HSAT sleep / wake scoring (TST)

Respiratory Scoring

  • Score snore events

  • Series of individual snore event scoring

  • Determine the distance of leg movements from events, including: apneas, hypopneas, and RERAs

Arousals

  • If / when to score RERA events

  • Set arousal associations

  • Respiratory event arousal associations

Desaturations

  • 3% or 4% desaturation scoring

  • Set desaturation baselines

  • Event to desaturation ratio

  • Forced wake when SpO2 is out

Periodic Leg Movement (PLM) Series Scoring

  • Score leg movements

  • Score all LMs or Score only PLMs

  • PLM respiratory event distances

Miscellaneous

  • PSG / HSAT device compatibility

  • Score bad data events

  • Lights on/off scoring

  • Score MSLT studies

Can EnsoSleep score HSATs?

Yes, EnsoSleep scores home sleep apnea tests (HSATs). In fact, AI Scoring makes at-home testing more scalable and profitable for providers as it simultaneously improves consistency and reduces time spent scoring.

We developed a certification to equip sleep techs with the expertise to proficiently review, overscore and validate AI scored HSATs. 

Does AI Sleep Scoring reduce turnaround times for testing and results?

Customers using EnsoSleep AI scoring to take the first pass at scoring studies results in an average 62% time savings on PSGs and an average 68% time savings on HSATs. 

This provides clinicians with more time to expand patient care, improve outcomes, and treat more patients. Click the button below to view the time savings survey results.

How does EnsoSleep integrate with Sleep devices and software?

EnsoSleep works behind the scenes, integrating with leading PSG and HSAT software and devices. Working directly with your software, EnsoSleep automatically detects studies that need scoring, analyzes them, and places them back into the existing scoring workflow.

Watch our video to discover how EnsoSleep fits into your existing workflow.

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Does EnsoSleep support multiple devices in the same platform?​

Yes. EnsoSleep Study Management provides clinicians with access to ALL studies and devices, across ALL locations, for ALL sleep techs and physicians, in one interoperable, cloud-based platform for viewing, editing, and reporting of sleep studies.

Watch our video to discover how EnsoSleep Study Management simplifies and accelerates the sleep lab workflow.

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Where else can you learn about EnsoSleep AI Scoring?

The following resources are helpful for learning more about EnsoData, and our AI Scoring and Study Management solution, EnsoSleep:

• Read our EnsoSleep White Paper which provides an overview of our AI Scoring solution for sleep clinics.

• AI Scoring and Study Management has transformed a number of sleep clinics. Download our EnsoSleep case studies to read each story.

* See our Compliance page for the EnsoSleep Device Profile.

Do you have additional questions?

Please contact us directly at team@ensodata.com or simply fill out our form below. A team member will reach out to schedule an online consultative meeting and demo at your convenience. 

During the meeting, we’ll discuss the unique needs of your clinic and demonstrate how EnsoSleep fits into your workflow.

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Simplify and accelerate the sleep testing, diagnosis and treatment workflow for sleep clinicians and sleep labs with one cloud-based solution for sleep study viewing, editing, and reporting.

EnsoSleep FDA cleared AI-assisted sleep scoring and analysis solution  automates the scoring of studies, and reduces the time RPSGTs spend scoring PSGs and HSATs. Consistent, reliable results provide clinicians with more time to expand patient care, improve outcomes and treat more patients. 

EnsoSleep produces an accurate Total Sleep Time (TST) for HSAT devices that do not calculate a measurement of sleep time. Including TST results in improved diagnostic accuracy for clinicians and patients and potential increased reimbursements.